[PDF.41rs] Grammar-Based Feature Generation for Time-Series Prediction (SpringerBriefs in Applied Sciences and Technology)

Grammar-Based Feature Generation for Time-Series Prediction (SpringerBriefs in Applied Sciences and Technology)

[PDF.rg37] Grammar-Based Feature Generation for Time-Series Prediction (SpringerBriefs in Applied Sciences and Technology)

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 | #4046507 in Books |  2015-02-17 |  2015-02-17 | Original language:English | PDF # 1 |  9.25 x.26 x6.10l,.0 | File type: PDF | 99 pages

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This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. Application of machine learning techniques to predict time-series continues to attract considerable attention due to the difficulty of the prediction problems compounded by the non-linear and non-stationary nature of the real world time-series. The performance of machine learning techniques, among other things, depends on suitable engineerin...

You can specify the type of files you want, for your device.Grammar-Based Feature Generation for Time-Series Prediction (SpringerBriefs in Applied Sciences and Technology)   |  Anthony Mihirana De Silva, Philip H. W. Leong. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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